Showing 1 - 10 results of 10 for search 'Chinedu Matthew Agu', query time: 0.03s Refine Results
  1. 1
    Preliminary investigation and neural network modeling of palm oil mill effluent as a potential bio-stimulating organic co-substrate in hydrocarbon degradation

    Preliminary investigation and neural network modeling of palm oil mill effluent as a potential bio-stimulating organic co-substrate in hydrocarbon degradation by Kingsley Amechi Ani, Chinedu Matthew Agu, Matthew Chukwudi Menkiti

    Published 2021-12-01
    Get full text
    Article
  2. 2
    Extraction modeling, kinetics, and thermodynamics of solvent extraction of Irvingia gabonensis kernel oil, for possible industrial application

    Extraction modeling, kinetics, and thermodynamics of solvent extraction of Irvingia gabonensis kernel oil, for possible industrial application by Chinedu Matthew Agu, Matthew Chukwudi Menkiti, Paschal Enyinnaya Ohale, Victor Ifeanyi Ugonabo

    Published 2021-04-01
    Get full text
    Article
  3. 3
    Modeling and optimization of Terminalia catappa L. kernel oil extraction using response surface methodology and artificial neural network

    Modeling and optimization of Terminalia catappa L. kernel oil extraction using response surface methodology and artificial neural network by Chinedu Matthew Agu, Matthew Chukwudi Menkiti, Ekwe Bassey Ekwe, Albert Chibuzor Agulanna

    Published 2020-01-01
    Get full text
    Article
  4. 4
    Goat manure waste and palm oil mill effluent, viable crude oil degradation substrates: A thermodynamic and composting investigation studies

    Goat manure waste and palm oil mill effluent, viable crude oil degradation substrates: A thermodynamic and composting investigation studies by Kingsley Amechi Ani, Chinedu Matthew Agu, Esonye Chizoo, Chukwuma Henry Kadurumba, Isiguzo Edwin Ahaneku

    Published 2024-03-01
    Get full text
    Article
  5. 5
    Microwave-assisted carbon-based sulphonated melon seed peel catalyst development for the optimization of neem seed oil epoxidation using response surface methodology

    Microwave-assisted carbon-based sulphonated melon seed peel catalyst development for the optimization of neem seed oil epoxidation using response surface methodology by Kenechi Nwosu-Obieogu, Chinedu Matthew Agu, Goziya Williams Dzarma, Allen Maureen Awele, Allen Nkemakolam

    Published 2022-06-01
    Get full text
    Article
  6. 6
    RSM/ANN based modeling of methyl esters yield from Anacardium occidentale kernel oil by transesterification, for possible application as transformer fluid

    RSM/ANN based modeling of methyl esters yield from Anacardium occidentale kernel oil by transesterification, for possible application as transformer fluid by Chinedu Matthew Agu, Charles Chukwudozie Orakwue, Matthew Chukwudi Menkiti, Albert Chibuzor Agulanna, Florence Chidinma Akaeme

    Published 2022-01-01
    Get full text
    Article
  7. 7
    Parametric, physicochemical and fatty acids composition characterizations of oil extract from Telfairia occidentalis seed; an evolution of its industrial applications potentials

    Parametric, physicochemical and fatty acids composition characterizations of oil extract from Telfairia occidentalis seed; an evolution of its industrial applications potentials by Chinedu Matthew Agu, Charles Chukwudozie Orakwue, Onuabuchi Nnenna Ani, Florence Chidinma Akaeme, Nonso Collins Oguanobi

    Published 2024-01-01
    Get full text
    Article
  8. 8
    Modeling of methyl ester yield from Terminalia catappa L. kernel oil by artificial neural network and response surface methodology for possible industrial application

    Modeling of methyl ester yield from Terminalia catappa L. kernel oil by artificial neural network and response surface methodology for possible industrial application by Chinedu Matthew Agu, Matthew Chukwudi Menkiti, Albert Chibuzor Agulanna, Bernad I. Okolo, Kenechi Nwosu-Obieogu

    Published 2022-02-01
    Get full text
    Article
  9. 9
    Application of efficient soft computing approaches for modeling methyl ester yield from Azadirachta Indica (Neem) seed oil: A comparative study of RSM, ANN and ANFIS

    Application of efficient soft computing approaches for modeling methyl ester yield from Azadirachta Indica (Neem) seed oil: A comparative study of RSM, ANN and ANFIS by Chinedu Matthew Agu, Kingsely Amechi Ani, Onuabuchi Nnenna Ani, Patrick Chukwudi Nnaji, Chukwuma H. Kadurumba, Chizoo Esonye

    Published 2024-01-01
    Get full text
    Article
  10. 10
    Methyl ester production from cotton seed oil via catalytic transesterification process; characterization, fatty acids composition, kinetics, and thermodynamics study

    Methyl ester production from cotton seed oil via catalytic transesterification process; characterization, fatty acids composition, kinetics, and thermodynamics study by Chinedu Matthew Agu, Charles Chukwudozie Orakwue, Onuabuchi Nnenna Ani, Mmesoma Promise Chinedu, Chukwuma Henry Kadurumba, Isiguzo Edwin Ahaneku

    Published 2024-03-01
    Get full text
    Article

Search Tools: